class_docstr: Events specific for the impala algorithm, in order to record and analyse it's behaviour in more detail
docstr: Record the total time it took the learner to backprob the loss + relative per to total update time
  
  :param time: the absolute time it took for the computation
  :param percent: the relative percentage this computation took w.r.t. to one update
docstr_tok: ["Record","the","total","time","it","took","the","learner","to","backprob","the","loss","+","relative","per","to","total","update","time",":","param","time",":","the","absolute","time","it","took","for","the","computation",":","param","percent",":","the","relative","percentage","this","computation","took","w.r.t",".","to","one","update"]
code: def time_backprob(self, time: float, percent: float):
      """Record the total time it took the learner to backprob the loss + relative per to total update time
  
      :param time: the absolute time it took for the computation
      :param percent: the relative percentage this computation took w.r.t. to one update
      """
  
file_path: maze/maze/train/trainers/impala/impala_events.py
imports: from abc import ABC
  import numpy
  from maze.core.log_stats.event_decorators import define_epoch_stats
label_desc: Use image node_id 5 for calling the ImpalaEvents obj's underlying member method code with example usage: obj.time_backprob(time, percent) without return types